{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Building prefix dict from the default dictionary ...\n",
      "Loading model from cache C:\\Users\\ADMINI~1\\AppData\\Local\\Temp\\jieba.cache\n",
      "Loading model cost 0.774 seconds.\n",
      "Prefix dict has been built successfully.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import jieba\n",
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "import imageio\n",
    "f=open(r'mess.txt',encoding='utf-8')\n",
    "t=f.read()\n",
    "f.close()\n",
    "words=jieba.lcut(t)\n",
    "txt=''.join(words)\n",
    "image=imageio.imread(r'horse.png')\n",
    "w=WordCloud(font_path=r'FZFSJW.TTF',background_color='white',mask=image)\n",
    "w.generate(txt)\n",
    "w.to_file(r'test.png')\n",
    "plt.imshow(w,interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import jieba.analyse\n",
    "import jieba.posseg\n",
    "def get_sentence(text):\n",
    "    split_num=0\n",
    "    sentences=[]\n",
    "    for paragraph in text.split('\\n'):\n",
    "        if paragraph:\n",
    "            sentence_num=0\n",
    "            for paragraph in re.split(\"！|。|？\",paragraph):\n",
    "                if paragraph:\n",
    "                    mark=[]\n",
    "                    if split_num==0:\n",
    "                        mark.append('FIRSTSECTION')\n",
    "                    if sentence_num==0:\n",
    "                        mark.append('FIRSESENTENCE')\n",
    "                    sentences.append({'text':paragraph,'pos':{'x':split_num,'y':sentence_num,'mark':mark}})\n",
    "                    sentence_num=sentence_num+1\n",
    "            split_num=split_num+1\n",
    "            sentences[-1]['pos']['mark'].append('LASTSENTENCE')\n",
    "    for i in range(0,len(sentences)):\n",
    "        if sentences[i]['pos']['x']==sentences[-1]['pos']['x']:\n",
    "            sentences[i]['pos']['mark'].append('LASTSECTION')\n",
    "    return sentences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "对本文进行分句:\n",
      " [{'text': '2015年7月31日，北京获得2022年第24届冬奥会的举办权', 'pos': {'x': 0, 'y': 0, 'mark': ['FIRSTSECTION', 'FIRSESENTENCE']}}, {'text': '第24届冬奥会将于2022年2月4日至2月20日在中国北京举行，北京也将成为历史上第一座既举办过夏奥会又举办过冬奥会的城市', 'pos': {'x': 0, 'y': 1, 'mark': ['FIRSTSECTION', 'LASTSENTENCE']}}, {'text': '2022年北京冬奥会计划使用25个场馆，场馆分布在3个赛区，分别是北京赛区、延庆赛区和张家口赛区', 'pos': {'x': 1, 'y': 0, 'mark': ['FIRSESENTENCE', 'LASTSENTENCE']}}, {'text': '北京是中华人民共和国的首都，是全国政治中心、文化中心、国际交往中心、科技创新中心', 'pos': {'x': 2, 'y': 0, 'mark': ['FIRSESENTENCE']}}, {'text': '2008年，北京成功举办了第29届夏季奥林匹克运动会', 'pos': {'x': 2, 'y': 1, 'mark': ['LASTSENTENCE']}}]\n"
     ]
    }
   ],
   "source": [
    "sample=open('mess.txt',encoding='utf-8').read()\n",
    "sentences=get_sentence(sample)\n",
    "print('对本文进行分句:\\n',sentences[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "对文本进行关键词提取:\n",
      " ['运动员', '冰雪', '赛区', '展现', '赛场', '举办', '飞跃', '举办地', '获得', '中心']\n"
     ]
    }
   ],
   "source": [
    "def get_keywords(text):\n",
    "    keywords=jieba.analyse.extract_tags(text,topK=100,withWeight=False,allowPOS=('n','vn','v'))\n",
    "    return keywords\n",
    "keywords=get_keywords(sample)\n",
    "print('对文本进行关键词提取:\\n',keywords[:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_weight(sentences,keywords):\n",
    "    for sentence in sentences:\n",
    "        mark=sentence['pos']['mark']\n",
    "        weightPos=0\n",
    "        if 'FIRSTSECTION' in mark:\n",
    "            weightPos=weightPos+2\n",
    "        if 'FIRSTSENTENCE' in mark:\n",
    "            weightPos=weightPos+2\n",
    "        if 'LASTSENTENCE' in mark:\n",
    "            weightPos=weightPos+1\n",
    "        if 'LASTSECTION' in mark:\n",
    "            weightPos=weightPos+1\n",
    "        sentence['weightPos']=weightPos\n",
    "    index=['冬梦','飞跃']\n",
    "    for sentence in sentences:\n",
    "        sentence['weightCueWords']=0\n",
    "        sentence['weightKeywords']=0\n",
    "    for i in index:\n",
    "        for sentence in sentences:\n",
    "            if sentence['text'].find(i)>=0:\n",
    "                sentence['weightCueWords']=1\n",
    "    for keyword in keywords:\n",
    "        for sentence in sentences:\n",
    "            if sentence['text'].find(keyword)>=0:\n",
    "                sentence['weightKeywords']=sentence['weightKeywords']+1\n",
    "    weight=[]\n",
    "    for sentence in sentences:\n",
    "        sentence['weight']=sentence['weightPos']+2*sentence['weightCueWords']+sentence['weightKeywords']\n",
    "        weight.append(sentence['weight'])\n",
    "    return weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "文本中每个句子的权重为:\n",
      " [5, 7, 3, 3, 3, 8, 2, 4, 3, 2, 14, 5, 17, 5, 8, 12, 4, 14, 11, 8, 10, 20, 3, 7, 3, 4, 9]\n"
     ]
    }
   ],
   "source": [
    "weight=get_weight(sentences,keywords)\n",
    "print('文本中每个句子的权重为:\\n',weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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